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G D Murray

Biographic Data

ID3880140
NAMEG D Murray
GIVEN NAMESG D
FAMILY NAMEMurray
SIGNATUREMURRAY G D
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS11
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR1977
LATEST PUBLICATION YEAR2011
H-INDEX2
  • The effect of socioeconomic status on mortality in the critically ill

    N I Lone, Nazir Lone et al.•ARTICLE•Journal of Epidemiology and…•2011

    Background Admission to intensive care units (ICUs) is determined by degree of organ failure and the need for close monitoring. It is associated with high intensity, expensive treatments. Socioeconomic status (SES) is an important determinant of health outcomes, but few studies have assessed its effect on outcome from critical illness. Aims We investigated the association of SES with short and long-term mortality for ICU patients in Scotland. Met…

  • P51 Surviving intensive care

    N I Lone, Nazir Lone et al.•ARTICLE•Journal of Epidemiology and…•2010

    Background Intensive care units (ICUs) are an expensive resource. However, this expense does not end at hospital discharge. ICU survivors continue to experience significant morbidity. As the demand for ICU is likely to increase substantially, there is a need to establish how much health care resource survivors consume following discharge from hospital. This will enable appropriate service planning and policy development to meet the needs of these…

  • Decline of maternal blood lead concentrations in Glasgow

    Michael R Moore, Stuart J Robertson et al.•ARTICLE•Journal of Epidemiology and…•1998•References: 2

  • Pre-term Foetal Life Times in Scotland

    Ruth M Pickering, Ruth Pickering et al.•ARTICLE•Population Studies•1986•Cited by: 2

    A proportional hazards model was used to evaluate the association between ten categorical covariates and the risk of pre-term delivery for women having their first child and women in subsequent pregnancies. An adaptation of the model for use with grouped survival times made it possible to model foetal life times between 28 and 36 completed weeks of gestation for 67,000 Scottish singleton births in 1981. The use of the model was justified by testi…

  • A Stochastic Model for Measles Epidemics in a Multi-Region Setting

    G D Murray, Gordon Murray et al.•ARTICLE•Transactions of the Institute of…•1977•Cited by: 9

    In this paper, a regionally based stochastic model for the diffusion of measles epidemics is developed. The model is tested with an application to ten contiguous sub-areas centred on Bristol. IN this paper we explore some ways in which a stochastic version of the classic Hamer-Soper deterministic model for measles epidemics (Soper, 1929) may be extended to analyse patterns of measles outbreaks in a regional setting. The models developed are appli…

  • A Stochastic Model for Measles Epidemics in a Multi-Region Setting

    G D Murray, Gordon Murray et al.•ARTICLE•Transactions of the Institute of…•1977•Cited by: 9

    In this paper, a regionally based stochastic model for the diffusion of measles epidemics is developed. The model is tested with an application to ten contiguous sub-areas centred on Bristol. IN this paper we explore some ways in which a stochastic version of the classic Hamer-Soper deterministic model for measles epidemics (Soper, 1929) may be extended to analyse patterns of measles outbreaks in a regional setting. The models developed are appli…

  • Pre-term Foetal Life Times in Scotland

    Ruth M Pickering, Ruth Pickering et al.•ARTICLE•Population Studies•1986•Cited by: 2

    A proportional hazards model was used to evaluate the association between ten categorical covariates and the risk of pre-term delivery for women having their first child and women in subsequent pregnancies. An adaptation of the model for use with grouped survival times made it possible to model foetal life times between 28 and 36 completed weeks of gestation for 67,000 Scottish singleton births in 1981. The use of the model was justified by testi…

  • A Stochastic Model for Measles Epidemics in a Multi-Region Setting

    G D Murray, Gordon Murray et al.•ARTICLE•Transactions of the Institute of…•1977•Cited by: 9

    In this paper, a regionally based stochastic model for the diffusion of measles epidemics is developed. The model is tested with an application to ten contiguous sub-areas centred on Bristol. IN this paper we explore some ways in which a stochastic version of the classic Hamer-Soper deterministic model for measles epidemics (Soper, 1929) may be extended to analyse patterns of measles outbreaks in a regional setting. The models developed are appli…

  • Pre-term Foetal Life Times in Scotland

    Ruth M Pickering, Ruth Pickering et al.•ARTICLE•Population Studies•1986•Cited by: 2

    A proportional hazards model was used to evaluate the association between ten categorical covariates and the risk of pre-term delivery for women having their first child and women in subsequent pregnancies. An adaptation of the model for use with grouped survival times made it possible to model foetal life times between 28 and 36 completed weeks of gestation for 67,000 Scottish singleton births in 1981. The use of the model was justified by testi…

  • Decline of maternal blood lead concentrations in Glasgow

    Michael R Moore, Stuart J Robertson et al.•ARTICLE•Journal of Epidemiology and…•1998•References: 2

  • P51 Surviving intensive care

    N I Lone, Nazir Lone et al.•ARTICLE•Journal of Epidemiology and…•2010

    Background Intensive care units (ICUs) are an expensive resource. However, this expense does not end at hospital discharge. ICU survivors continue to experience significant morbidity. As the demand for ICU is likely to increase substantially, there is a need to establish how much health care resource survivors consume following discharge from hospital. This will enable appropriate service planning and policy development to meet the needs of these…

  • The effect of socioeconomic status on mortality in the critically ill

    N I Lone, Nazir Lone et al.•ARTICLE•Journal of Epidemiology and…•2011

    Background Admission to intensive care units (ICUs) is determined by degree of organ failure and the need for close monitoring. It is associated with high intensity, expensive treatments. Socioeconomic status (SES) is an important determinant of health outcomes, but few studies have assessed its effect on outcome from critical illness. Aims We investigated the association of SES with short and long-term mortality for ICU patients in Scotland. Met…

Medicine (5 works) · Demography (3 works) · Environmental health (3 works) · Population (3 works) · Cohort study (2 works) · Emergency Medicine (2 works) · Emergency Medicine (2 works) · Global Health Care Issues (2 works) · Intensive care (2 works) · Intensive care medicine (2 works)

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